Instructor Class Description

Introduction to Computational Molecular Biology: Molecular Evolution

Computational methods for studying molecular evolution. Students must be able to write computer programs for data analysis. Prior coursework in biology and probability highly desirable Prerequisite: GENOME 540 or permission of instructor. Offered: Sp.

Class description

This is the second quarter of a two-quarter introduction to
computational methods for analyzing biological data. The course
surveys a variety of subfields in computational biology, including
various types of sequence analyses -- phylogenetic footprinting,
searching for non-coding RNAs, motif discovery -- as well as
microarray analysis, proteomics, systems biology, computational cell
biology and computational structural biology.

Student learning goals

General method of instruction

Recommended preparation

GENOME 540 or permission of instructor.

Students must be able to write computer programs for data analysis. Some prior exposure to probability, statistics and molecular biology is highly desirable.

Class assignments and grading

The entire course grade is based on the homework assignments, which are due weekly. No tests or exams.

The homework assignments involve writing programs for data analysis, and running them on a computer that you have access to (we cannot provide computers). We don't require a specific language.

10% for each homework assignment.

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.Course home page
Last Update by William S Noble
Date: 11/11/2010

Office of the Registrar
For problems and questions about this web page contact icd@u.washington.edu,
otherwise contact the instructor or department directly.
Modified:April 23, 2014